Paper in AISTATS 2013 "Beyond Sentiment: The Manifold of Human Emotions"

Abstract

Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper we consider higher-dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities. Besides obtaining significant improvements over a baseline without manifold, we are also able to visualize different notions of positive sentiment in different domains.

via [arXiv.org 1202.1568] Beyond Sentiment: The Manifold of Human Emotions.

Citation

  • S. Kim, F. Li, G. Lebanon, and I. A. Essa (2013), “Beyond Sentiment: The Manifold of Human Emotions,” in Artificial Intelligence and Statistics (AISTATS), 2013. [PDF] [BIBTEX]
    @InProceedings{ 2012-Kim-BSMHE,
    author  = {Seungyeon Kim and Fuxin Li and Guy Lebanon and
    Irfan A. Essa},
    booktitle  = {{Artificial Intelligence and Statistics
    (AISTATS)}},
    pdf = {http://arxiv.org/pdf/1202.1568v1},
    title = {Beyond Sentiment: The Manifold of Human Emotions},
    year = {2013}
    }

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